資料科學入門實戰：Python

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About

郭耀仁 Kyosei.ai Medium

Current and previous work

  • Kyosei.ai Co-Founder
  • Coupang Senior Data Analyst
  • SAS Analytical Consultant
  • CTBC Management Associate
  • McKinsey Research Intern

In the booming age of data science

The core of data science is talent.

Lecturing everywhere

  • 台大資工系統訓練班（2016 - 現在）
  • 文化大學推廣部（2018）
  • 2017 資料科學年會講者
  • 國立台北商業大學（2017 秋）
  • 玉山商業銀行（2017 夏）

Could that data BE any tidier?

Data Scientist: The Sexiest Job of the 21st Century.

Harvard Business Review OCT, 2012

The world’s most valuable resource is no longer oil, but data.

The Economist, May 6th 2017

rumor has it

“Data Scientist” is a Data Analyst who lives in California.

and more…

Data Scientist (n.): Person who is better at statistics than any software engineer and better at software engineering than any statistician.

Scopes of data science are

  • 資料技術
  • 視覺化
  • 機器學習
  • 高效能運算

A venn diagram of data science

Hacking skills here

The 2017 Top Programming Languages

Programming Languages

  • 資料科學家：Python, R, Julia
  • 資料工程：Java, Scala
  • Matlab, SAS

Practical Learning

  • 50% 原則
  • Choose a really good IDE

Pillars of Programming

  • Variables
  • Control Flow
  • Functions
  • Structures
  • Iterations
  • Class
  • Modules/Libraries/Packages

Python

  • 免費
  • 社群
  • 跨平台
  • 彈性大

Data Science Libraries

  • NumPy
  • pandas
  • matplotlib
  • Scikit-Learn
  • TensorFlow, Keras

Development Environment

  • 復古派: Python + Editor
  • 資料科學派: Jupyter Notebook
  • 比較潮的資料科學派: Google Colaboratory

Quiz Time!

Quiz 1

從資料科學的 Venn Diagram 中我們知道這個學科的組成有三項，請問今天活動的主題比較偏向哪個？

  1. Substantive Expertise
  2. Math and Statistics
  3. Hacking Skills
  4. Machine Learning

Quiz 2

Python 的開發環境有多種選擇，請問今天活動的主題我們會選用哪個？

  1. Python + Visual Studio Code
  2. Python + Spyder
  3. Jupyter Notebook
  4. Google Colabortory

Quiz 3

下列哪一個 Python 的資料科學套件是用來處理表格資料？

  1. pandas
  2. NumPy
  3. Scikit-Learn
  4. matplotlib

Getting Started

資料科學入門實戰：Python

After workshop

Any motivations?

希望給了各位學員一些學習動機！

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Getting Started!